Real-time
Two-way sync
Changes in Neo4j or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Neo4j to Servicemax integration — real-time, two-way sync
Keep Neo4j and Servicemax in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Neo4j and Servicemax
Mirror Servicemax's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Servicemax through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Neo4j.
Stacksync mirrors Accounts, Contacts, Cases, Products from Servicemax into Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Servicemax, so the tool and the database never disagree.
Common use cases
- 01 Sync Work Orders (SVMXC__Service_Order__c) and Work Details bi-directionally with Postgres so ops and analytics teams read and write field-service data in plain SQL.
- 02 Keep Installed Products (SVMXC__Installed_Product__c) aligned with an asset or IoT database for warranty, entitlement, and service-history reporting.
- 03 Feed identity and access data into a graph for entitlement and blast-radius analysis.
- 04 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
Common sync patterns
React to changes as they happen
Updates in Servicemax arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Servicemax with a query
Records from Servicemax are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Neo4j and Servicemax
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Neo4j objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Work Orders SVMXC__Service_Order__c; the core field-service job record for install, repair, and maintenance; synced two-way with databases and pushed to ERPs at close. | Indexes & Constraints is specific to Neo4j and Work Orders to Servicemax — each maps to any object or custom field on the other side. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Work Details SVMXC__Service_Order_Line__c; line items on a Work Order for labor, parts used, and expenses; read out for billing or written back with usage. | Databases is specific to Neo4j and Work Details to Servicemax — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. | Users & Roles is specific to Neo4j and Installed Products to Servicemax — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. | Nodes is specific to Neo4j and Service Contracts to Servicemax — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Relationships is specific to Neo4j and Stock History to Servicemax — each maps to any object or custom field on the other side. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Properties is specific to Neo4j and Accounts to Servicemax — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Servicemax
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Neo4j Servicemax Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.
Servicemax Neo4j Sub-second propagation
DetectionChanges in Servicemax are captured at the source via change data capture — no polling loop against its API. Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Servicemax: Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count.
What ships with Neo4j ⇄ Servicemax
Connect Neo4j and Servicemax for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Servicemax connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Servicemax data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Neo4j or Servicemax record.
Observability
Monitoring
Track your Neo4j ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Neo4j and Servicemax.
How the Neo4j and Servicemax connectors work
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
Servicemax
- Integration surface
- Salesforce REST, SOAP, and Bulk APIs (ServiceMax is a managed package on the Salesforce platform)
- Authentication
- Salesforce OAuth login via a user with API access; the connecting profile needs object and field permissions on ServiceMax's SVMXC__ objects
- Change detection
- Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled
- Capabilities
- read · write · CDC
- Rate limits
- Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count
How it works
How to connect Neo4j to Servicemax — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Neo4j and Servicemax with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Neo4j
connected
Servicemax
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Servicemax objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Neo4j ⇄ ServicemaxCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Neo4j ServicemaxCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Servicemax integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Servicemax: authenticate both systems, choose the objects to sync (such as Neo4j's Indexes & Constraints and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Neo4j and Servicemax. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Servicemax: Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Servicemax side: Accounts, Contacts, Cases, Products, plus custom fields where Servicemax exposes them. On the Neo4j side: Labels, Indexes & Constraints, Databases, Users & Roles. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Neo4j and Servicemax: React to changes as they happen; One integration pattern for the whole stack; Read Servicemax with a query. Updates in Servicemax arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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